embed_documents() — langchain Function Reference

Architecture documentation for the embed_documents() function in fake_embeddings.py from the langchain codebase.

Function python LangChainCore MessageInterface calls 1 called by 2

Entity Profile

LangChainCore→ MessageInterface→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  1f17bb26_27fa_63ce_1206_8a0fb97317b0["embed_documents()"]
  c9ef4937_4c8f_65e2_006f_5cf4aee0c299["ConsistentFakeEmbeddings"]
  1f17bb26_27fa_63ce_1206_8a0fb97317b0 -->|defined in| c9ef4937_4c8f_65e2_006f_5cf4aee0c299
  fe8af560_d512_0d8d_8702_5b02575b62af["embed_query()"]
  fe8af560_d512_0d8d_8702_5b02575b62af -->|calls| 1f17bb26_27fa_63ce_1206_8a0fb97317b0
  adc2e5ee_2c56_2e04_882f_3b17eca2f467["embed_documents()"]
  adc2e5ee_2c56_2e04_882f_3b17eca2f467 -->|calls| 1f17bb26_27fa_63ce_1206_8a0fb97317b0
  adc2e5ee_2c56_2e04_882f_3b17eca2f467["embed_documents()"]
  1f17bb26_27fa_63ce_1206_8a0fb97317b0 -->|calls| adc2e5ee_2c56_2e04_882f_3b17eca2f467
  style 1f17bb26_27fa_63ce_1206_8a0fb97317b0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/integration_tests/cache/fake_embeddings.py lines 62–72

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Return consistent embeddings for each text seen so far."""
        out_vectors = []
        for text in texts:
            if text not in self.known_texts:
                self.known_texts.append(text)
            vector = [1.0] * (self.dimensionality - 1) + [
                float(self.known_texts.index(text)),
            ]
            out_vectors.append(vector)
        return out_vectors